Human posture tracking in a multi-camera environment

Luo Sun; Huijun Di; Linmi Tao; Guangyou Xu

Human posture tracking in a multi-camera environment

Luo Sun, Huijun Di, Linmi Tao, Guangyou Xu^*

^*此作品的通讯作者

Tsinghua University

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

Human posture tracking has long been of interest for its wide applications in human motion recognition and analysis. A tracking algorithm was developed using the Ω-shaped curve of the human head and shoulder as the tracking target based on the position and shape constraints among distinct views in a multi-camera environment. The algorithm integrates tracking and detection to simultaneously track the human posture and location in 3-D space as well as the head-shoulder contour. The robustness and efficacy of the approach is confirmed in challenging real-world scenarios.

源语言	英语
页（从-至）	966-971
页数	6
期刊	Qinghua Daxue Xuebao/Journal of Tsinghua University
卷	51
期	7
出版状态	已出版 - 7月 2011
已对外发布	是

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Sun, L., Di, H., Tao, L., & Xu, G. (2011). Human posture tracking in a multi-camera environment. Qinghua Daxue Xuebao/Journal of Tsinghua University, 51(7), 966-971.

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N2 - Human posture tracking has long been of interest for its wide applications in human motion recognition and analysis. A tracking algorithm was developed using the Ω-shaped curve of the human head and shoulder as the tracking target based on the position and shape constraints among distinct views in a multi-camera environment. The algorithm integrates tracking and detection to simultaneously track the human posture and location in 3-D space as well as the head-shoulder contour. The robustness and efficacy of the approach is confirmed in challenging real-world scenarios.

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KW - Particle filter

KW - Posture tracking

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Human posture tracking in a multi-camera environment

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